{"id":"https://openalex.org/W3210594659","doi":"https://doi.org/10.1145/3479645.3479708","title":"Generative Multi-View Based 3D Human Pose Estimation","display_name":"Generative Multi-View Based 3D Human Pose Estimation","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3210594659","doi":"https://doi.org/10.1145/3479645.3479708","mag":"3210594659"},"language":"en","primary_location":{"id":"doi:10.1145/3479645.3479708","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479645.3479708","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479645.3479708","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Sustainable Information Engineering and Technology 2021","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3479645.3479708","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066807814","display_name":"Motaz Sabri","orcid":"https://orcid.org/0000-0002-6560-1179"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Motaz Sabri","raw_affiliation_strings":["Ridge-I, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ridge-I, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5066807814"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"201","issue":null,"first_page":"2","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7906193733215332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6993973851203918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6785616278648376},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6217820048332214},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5901609063148499},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5862876176834106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5482894778251648},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5452597141265869},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5416126847267151},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.479274719953537},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41026726365089417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3710562586784363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14103847742080688}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7906193733215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6993973851203918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6785616278648376},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6217820048332214},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5901609063148499},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5862876176834106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5482894778251648},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5452597141265869},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5416126847267151},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.479274719953537},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41026726365089417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3710562586784363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14103847742080688},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3479645.3479708","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479645.3479708","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479645.3479708","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Sustainable Information Engineering and Technology 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3479645.3479708","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3479645.3479708","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3479645.3479708","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Sustainable Information Engineering and Technology 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210594659.pdf","grobid_xml":"https://content.openalex.org/works/W3210594659.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2042718506","https://openalex.org/W2097117768","https://openalex.org/W2101032778","https://openalex.org/W2186222003","https://openalex.org/W2204257188","https://openalex.org/W2215643317","https://openalex.org/W2525579820","https://openalex.org/W2611932403","https://openalex.org/W2612706635","https://openalex.org/W2613192286","https://openalex.org/W2676675178","https://openalex.org/W2797184202","https://openalex.org/W2964318832","https://openalex.org/W2970285700","https://openalex.org/W2972662547","https://openalex.org/W2998027150","https://openalex.org/W2998273692","https://openalex.org/W3082628734","https://openalex.org/W3092041969","https://openalex.org/W3098612954","https://openalex.org/W3126974104","https://openalex.org/W4234552385","https://openalex.org/W4241307704"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W3022908591","https://openalex.org/W4285706568"],"abstract_inverted_index":{"Large":[0],"amounts":[1],"of":[2,42,90,104,111],"annotated":[3],"data":[4],"is":[5],"essential":[6],"for":[7],"modern":[8],"Human":[9],"pose":[10],"estimation.":[11],"We":[12,94],"propose":[13],"using":[14],"a":[15,31,81],"semi":[16,116],"supervised":[17,117],"learning":[18],"scheme":[19],"to":[20,46,70,97],"estimate":[21],"the":[22,40,56,61,75,85,99,112],"3D":[23],"poses":[24,67,124],"from":[25,30],"adversarial":[26],"multi-views":[27],"generated":[28,37],"representations":[29],"single":[32],"RGB":[33],"image.":[34],"Our":[35,53,106],"GAN":[36],"views":[38],"are":[39],"result":[41],"training":[43],"that":[44],"aims":[45,69],"create":[47],"authentic":[48],"and":[49,64,68,88,119,130],"less":[50],"degenerated":[51],"outputs.":[52],"method":[54,86,107],"targets":[55],"shared":[57],"latent":[58,76],"space":[59],"between":[60],"3":[62],"dimensional":[63,66],"2":[65],"simplify":[71],"it":[72],"by":[73],"constraining":[74],"distribution.":[77],"This":[78],"resulted":[79],"in":[80,84,121],"noticeable":[82],"increase":[83],"generalization":[87],"exploitation":[89],"unlabeled":[91],"depth":[92],"maps.":[93],"utilized":[95],"heatmaps":[96],"visualize":[98],"attention":[100],"robustness":[101],"under":[102],"variety":[103],"poses.":[105],"competes":[108],"with":[109],"state":[110],"art":[113],"performances":[114],"among":[115],"approaches":[118],"excels":[120],"some":[122],"challenging":[123,133],"as":[125],"evaluated":[126],"on":[127],"Human3.6M,":[128],"MPII-INF-3DHP":[129],"Leeds":[131],"SportsPose":[132],"datasets.":[134],"1":[135]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
